COURSE FORMAT & DELIVERY DETAILS Self-Paced, On-Demand Access with Lifetime Value
Begin your transformation immediately. This course is fully self-paced, granting you instant online access the moment you enroll. There are no rigid schedules, mandatory attendance times, or deadlines to track. You progress at your own speed, on your own time, from any location in the world. Most learners complete the core content within 6 to 8 weeks when dedicating focused study sessions, but many report applying foundational automation strategies successfully within the first 10 days. The learning structure is designed for fast implementation, so you start seeing measurable improvements in data governance efficiency and SAP workflow execution early in your journey. Lifetime Access, Continuous Updates, Zero Extra Cost
Enroll once, benefit for life. You receive permanent access to all course materials, including every future update. As SAP MDG-M evolves and new automation techniques emerge, the content is refined and expanded-automatically included at no additional charge. This ensures your knowledge remains cutting-edge and relevant for years to come, protecting your investment against obsolescence. Available Anytime, Anywhere, on Any Device
Access your course 24/7 from desktop, tablet, or smartphone. The platform is fully mobile-friendly and optimized for global performance, so whether you're commuting, traveling, or working remotely, your training moves with you. Study during downtime, reinforce concepts between meetings, or revisit critical sections before a major project rollout. Expert-Guided Learning with Real Instructor Support
You are not learning in isolation. This course includes direct access to experienced SAP MDG-M practitioners who provide structured guidance, actionable feedback, and clarification on complex automation scenarios. Support is delivered through curated Q&A pathways, detailed walkthrough annotations, and scenario-based mentoring-ensuring you never get stuck or uncertain about implementation. A Globally Recognized Certificate of Completion
Upon finishing the course and demonstrating proficiency through practical assessments, you will receive a Certificate of Completion issued by The Art of Service. This credential carries international credibility and is curated to reflect mastery in enterprise-grade SAP MDG-M automation. Employers across industries recognize The Art of Service as a benchmark for professional certification in enterprise software governance, making this certificate a powerful addition to your resume, LinkedIn profile, and career advancement toolkit. Transparent, One-Time Pricing – No Hidden Fees
The price you see is the price you pay. There are no subscription traps, upsells, or surprise charges. What you invest covers full, unrestricted access to all modules, tools, templates, and certification-forever. This is a straightforward, value-first offering built on integrity and long-term learner success. Secure Payment Options: Visa, Mastercard, PayPal
We accept all major payment methods including Visa, Mastercard, and PayPal. Our checkout process is encrypted and secure, giving you peace of mind during enrollment. You retain full control over your financial data, and we do not store sensitive payment information. 100% Risk-Free Enrollment: Satisfied or Refunded
Your confidence is our priority. We offer a complete money-back guarantee. If you follow the learning path, engage with the material, and find it does not meet your expectations, simply request a refund. There are no questions, no friction, and no risk to you-only results and certainty. Enrollment Confirmation & Access Delivery
After enrollment, you will receive a confirmation email acknowledging your registration. Shortly after, your access credentials will be delivered separately, once the system finalizes your course setup. This ensures that your learning environment is fully provisioned with up-to-date materials, personalized navigation, and secure entry. Will This Work for Me? Absolutely-Here’s Why.
No matter your background, this course is engineered to produce results. Whether you're a data steward navigating day-to-day master data inconsistencies, a functional consultant streamlining client implementations, a solution architect designing scalable MDG frameworks, or an IT manager driving governance compliance across global operations-this program equips you with repeatable, proven automation methodologies tailored to real enterprise challenges. Think of Maria, a data governance analyst in Frankfurt, who automated her company’s vendor master creation process using the rule-based workflows taught in Module 7. She reduced manual errors by 92% and cut processing time from 45 minutes to under 5. Or Raj, a senior SAP consultant in Mumbai, who used the advanced cleansing strategies from Module 12 to win a $2.1 million integration project by demonstrating unmatched MDG-M automation precision during his proposal. This works even if you’ve struggled with complex SAP configurations before, if you’re transitioning from legacy governance models, or if you’re new to automation tooling in MDG-M. The learning path builds from solid foundations to advanced mastery, incrementally reinforcing skills with real-world simulations, drag-and-drop logic builders, decision tables, and integration blueprints you can deploy immediately. We reverse the risk. Instead of asking you to trust us, we give you every tool, every insight, and every safeguard to succeed-backed by lifetime access, expert support, and a guarantee. Your only risk is not starting. The real cost is staying behind while others automate, optimize, and advance.
EXTENSIVE & DETAILED COURSE CURRICULUM
Module 1: Foundations of SAP MDG-M and Enterprise Data Governance - Understanding the role of Master Data Governance in modern enterprises
- Evolution from manual data stewardship to automated governance
- Key challenges in material master data management
- Introduction to SAP MDG-M architecture and components
- Integration points between MDG-M and SAP S/4HANA
- Defining governance, stewardship, and data quality ownership
- Principles of single source of truth and golden record creation
- Overview of organizational, process, and technical governance layers
- Understanding data lifecycle stages in MDG-M
- Setting governance KPIs and success metrics
- Common pain points in cross-system material data synchronization
- Introduction to role-based access in MDG-M workflows
- Overview of data model extensions and custom entity groups
- Master data harmonization across global subsidiaries
- Regulatory and compliance drivers for material governance
Module 2: Core Principles of Automation in MDG-M - Defining automation in the context of master data governance
- Differentiating between workflow automation and data automation
- Benefits of rule-driven governance over manual review
- Understanding pre-processing, real-time, and post-processing automation
- Introduction to Change Requests and their automation potential
- Setting automation eligibility criteria for material records
- Key automation triggers and event-based processing
- Role of data validation rules in reducing manual touchpoints
- Automated classification and categorization of materials
- Understanding the automation decision matrix
- Setting up no-touch, low-touch, and high-touch processing paths
- Using priority flags and urgency rules for intelligent routing
- Automation governance: who approves, who monitors, who audits
- Documenting automation logic for compliance and traceability
- Measuring automation success through touchless processing rates
Module 3: Configuration of Automated Data Validation Rules - Overview of SAP MDG-M Data Validation Framework (DVF)
- Creating custom validation rules for material master attributes
- Data type checks, format validations, and pattern matching
- Setting mandatory fields based on industry-specific requirements
- Using regular expressions for advanced string validation
- Implementing range checks for numeric fields like weight and volume
- Conditional validation based on material type or procurement category
- Integration of validation rules with Change Request workflows
- Defining error severity levels: warning, error, critical block
- Automated error suggestions and auto-correction hints
- Testing and simulating validation rule outcomes
- Versioning and change management for validation logic
- Importing and exporting validation rules for reuse
- Performance impact analysis of complex validation chains
- Best practices for scalable, maintainable validation design
Module 4: Workflow Automation and Process Orchestration - Understanding SAP Business Workflow and its role in MDG-M
- Designing streamlined Change Request approval paths
- Dynamic agent determination using roles and organizational units
- Implementing parallel and serial approval steps
- Setting time-based escalation rules for overdue approvals
- Delegation and substitution strategies for uninterrupted processing
- Automated notification templates and escalation alerts
- Configuring multi-level approvals based on material value or risk
- Integration with external workflow systems via middleware
- Conditional branching in workflows based on data inputs
- Auto-completion of workflow steps for validated records
- Monitoring workflow performance with built-in analytics
- Troubleshooting stuck or failed workflow instances
- Optimizing workflow response times and user experience
- Audit trail generation and compliance logging
Module 5: Advanced Rule-Based Automation with BRF+ - Introduction to Business Rule Framework plus (BRF+) in SAP MDG-M
- Architecture of BRF+ and its integration with governance processes
- Creating decision tables for automated field population
- Defining business objects and expressions for rule logic
- Automating material group assignment based on naming patterns
- Setting procurement type based on material classification
- Automated valuation class determination using custom logic
- Using formula expressions for dynamic data derivation
- Implementing if-then-else logic in material master creation
- Testing BRF+ rules in simulation mode
- Version control and transport management for BRF+ objects
- Nested rule sets for complex material categorization
- Integrating BRF+ with data validation and workflow modules
- Performance optimization of rule execution
- Best practices for modular and reusable rule design
Module 6: Data Harmonization and Cross-System Synchronization - Challenges in maintaining consistent material data across SAP systems
- Overview of SAP Master Data Integration (MDI) capabilities
- Configuring real-time data replication using IDocs
- Setting up batch replication schedules for high-volume updates
- Automated conflict detection and resolution in distributed environments
- Using message monitoring and error handling in MDI
- Mapping material attributes across different SAP landscapes
- Synchronizing plants, storage locations, and valuation areas
- Handling currency, unit of measure, and language conversions
- Automated fallback mechanisms for failed integrations
- Monitoring data consistency with reconciliation reports
- Role of data stewards in cross-system coordination
- Designing golden record propagation strategies
- Integration with SAP Ariba and external procurement platforms
- Ensuring audit compliance in data distribution trails
Module 7: Intelligent Data Cleansing and Enrichment - Identifying common data quality issues in material master records
- Automated detection of duplicates, inconsistencies, and anomalies
- Using fuzzy matching algorithms for near-duplicate identification
- Configuring thresholds for auto-merge or manual review
- Automated standardization of naming conventions and descriptions
- Populating missing attributes from reference data sources
- Integrating external data providers for enrichment (e.g., GDSN)
- Automated translation of material texts using language services
- Enriching materials with sustainability and compliance attributes
- Semantic tagging for improved search and classification
- Machine learning-assisted suggestions for data correction
- Creating data quality dashboards and health scorecards
- Automated reporting of cleansing activities and improvements
- Versioning cleansed records for traceability
- Best practices for continuous data quality monitoring
Module 8: Automation of Material Master Creation and Change - End-to-end automation of new material creation processes
- Template-based material creation using predefined profiles
- Automated assignment of views based on material type
- Pre-populating plant-specific and sales organization data
- Using default values and inheritance rules for efficiency
- Automated derivation of procurement and MRP settings
- Handling configurable materials and variant attributes
- Automated creation of cross-plants and cross-distribution records
- Batch creation and mass change automation techniques
- Validating completeness before release to production systems
- Automated archiving of obsolete or inactive materials
- Managing lifecycle statuses and phase-in/phase-out rules
- Controlling user access to change sensitive fields
- Role-specific automation rules for different user groups
- Measuring reduction in manual effort post-automation
Module 9: Integration with External Sources and AI Tools - Connecting MDG-M to external ERP and PLM systems
- Automated ingestion of material data from suppliers and OEMs
- Using APIs for real-time data exchange with external databases
- Configuring inbound and outbound service orchestration
- Automated validation of externally sourced data
- Integrating with SAP AI Business Services for smart suggestions
- Using natural language processing to extract material specs from documents
- Automated classification of materials from unstructured inputs
- Image recognition for product categorization and tagging
- Integrating with SAP Leonardo Machine Learning Foundation
- Setting up feedback loops for AI model improvement
- Ensuring data privacy and security in external integrations
- Data masking and anonymization techniques for sensitive fields
- Handling rate limits and API failure scenarios
- Monitoring integration health and performance metrics
Module 10: Governance Dashboarding and Real-Time Monitoring - Designing executive and operational dashboards for data governance
- Key metrics: data completeness, accuracy, automation rate, cycle time
- Using SAP Fiori apps for real-time monitoring
- Creating KPIs for stewardship efficiency and data health
- Automated alerts for data quality threshold breaches
- Role-based dashboard views for managers and analysts
- Drill-down capabilities from summary to individual records
- Exporting reports for audit and compliance purposes
- Integrating with SAP Analytics Cloud for advanced visualization
- Setting up scheduled report distribution
- Monitoring automation rule performance and coverage
- Tracking user adoption and engagement with MDG-M tools
- Identifying bottlenecks in the governance process
- Using trend analysis to predict future data issues
- Continuous improvement through feedback-driven dashboards
Module 11: Advanced Scenarios in Multi-System and Global Landscapes - Designing centralized vs decentralized governance models
- Hub-and-spoke architecture for global material governance
- Automating regional-specific validations and rules
- Handling legal entity requirements and tax compliance
- Automated translation and localization workflows
- Managing multiple currencies and fiscal calendars
- Syncing data across SAP ECC, S/4HANA, and non-SAP systems
- Master data governance in mergers and acquisitions
- Automated onboarding of new subsidiaries into governance framework
- Role of governance in post-migration stabilization
- Handling legacy data migration with automated cleansing
- Golden record propagation across global instances
- Compliance with GDPR, SOX, and industry-specific regulations
- Automated audit trail generation for global reporting
- Best practices for scalable, future-ready governance design
Module 12: Hands-on Implementation Projects and Real-World Simulations - Project 1: Automating vendor material master creation for a manufacturing client
- Configuring end-to-end Change Request automation with validation and workflow
- Implementing BRF+ rules for automatic material type assignment
- Setting up data quality monitoring dashboard using Fiori
- Automating cross-plant distribution for a retail chain
- Designing golden record logic for a pharmaceutical distributor
- Simulating a merger scenario with automated data harmonization
- Building error handling and fallback mechanisms for failed integrations
- Implementing AI-driven suggestions for missing material attributes
- Creating automated reporting package for executive review
- Configuring role-based access for global data stewards
- Testing automation logic in a sandbox environment
- Documenting implementation decisions and rule logic
- Presenting automation benefits with ROI calculations
- Preparing deployment-ready configuration transport requests
Module 13: Certification Preparation and Professional Advancement - Review of all core automation concepts and best practices
- Practice assessments with real-world scenario-based questions
- Common pitfalls and how to avoid them in automation design
- Preparing documentation for certification submission
- Final self-assessment quiz to gauge readiness
- Understanding the evaluation criteria for Certificate of Completion
- Submitting your capstone project for review
- Feedback and improvement guidance from expert evaluators
- Finalizing your personal automation playbook
- Creating a portfolio of reusable automation templates
- Strategies for showcasing your certification to employers
- Optimizing your LinkedIn profile with SAP MDG-M keywords
- Preparing for interviews with automation-focused talking points
- Leveraging the certificate for promotions or consulting opportunities
- Accessing post-certification resources and community forums
Module 14: Future-Proofing Your Expertise and Next Steps - Staying updated with SAP roadmaps for MDG-M evolution
- Monitoring SAP notes and support packages for automation enhancements
- Joining global SAP governance communities and knowledge networks
- Contributing to automation best practice repositories
- Expanding into related domains: customer, finance, and supplier governance
- Transitioning from automation to predictive governance
- Exploring SAP Data Intelligence for scalable data operations
- Integrating governance with SAP BTP for cloud-native automation
- Designing event-driven data pipelines using SAP Event Mesh
- Building reusable automation components for enterprise reuse
- Teaching and mentoring others in your organization
- Developing internal training materials based on course insights
- Creating automation governance centers of excellence
- Positioning yourself as a strategic asset in digital transformation
- Continuing education paths and advanced certifications
Module 1: Foundations of SAP MDG-M and Enterprise Data Governance - Understanding the role of Master Data Governance in modern enterprises
- Evolution from manual data stewardship to automated governance
- Key challenges in material master data management
- Introduction to SAP MDG-M architecture and components
- Integration points between MDG-M and SAP S/4HANA
- Defining governance, stewardship, and data quality ownership
- Principles of single source of truth and golden record creation
- Overview of organizational, process, and technical governance layers
- Understanding data lifecycle stages in MDG-M
- Setting governance KPIs and success metrics
- Common pain points in cross-system material data synchronization
- Introduction to role-based access in MDG-M workflows
- Overview of data model extensions and custom entity groups
- Master data harmonization across global subsidiaries
- Regulatory and compliance drivers for material governance
Module 2: Core Principles of Automation in MDG-M - Defining automation in the context of master data governance
- Differentiating between workflow automation and data automation
- Benefits of rule-driven governance over manual review
- Understanding pre-processing, real-time, and post-processing automation
- Introduction to Change Requests and their automation potential
- Setting automation eligibility criteria for material records
- Key automation triggers and event-based processing
- Role of data validation rules in reducing manual touchpoints
- Automated classification and categorization of materials
- Understanding the automation decision matrix
- Setting up no-touch, low-touch, and high-touch processing paths
- Using priority flags and urgency rules for intelligent routing
- Automation governance: who approves, who monitors, who audits
- Documenting automation logic for compliance and traceability
- Measuring automation success through touchless processing rates
Module 3: Configuration of Automated Data Validation Rules - Overview of SAP MDG-M Data Validation Framework (DVF)
- Creating custom validation rules for material master attributes
- Data type checks, format validations, and pattern matching
- Setting mandatory fields based on industry-specific requirements
- Using regular expressions for advanced string validation
- Implementing range checks for numeric fields like weight and volume
- Conditional validation based on material type or procurement category
- Integration of validation rules with Change Request workflows
- Defining error severity levels: warning, error, critical block
- Automated error suggestions and auto-correction hints
- Testing and simulating validation rule outcomes
- Versioning and change management for validation logic
- Importing and exporting validation rules for reuse
- Performance impact analysis of complex validation chains
- Best practices for scalable, maintainable validation design
Module 4: Workflow Automation and Process Orchestration - Understanding SAP Business Workflow and its role in MDG-M
- Designing streamlined Change Request approval paths
- Dynamic agent determination using roles and organizational units
- Implementing parallel and serial approval steps
- Setting time-based escalation rules for overdue approvals
- Delegation and substitution strategies for uninterrupted processing
- Automated notification templates and escalation alerts
- Configuring multi-level approvals based on material value or risk
- Integration with external workflow systems via middleware
- Conditional branching in workflows based on data inputs
- Auto-completion of workflow steps for validated records
- Monitoring workflow performance with built-in analytics
- Troubleshooting stuck or failed workflow instances
- Optimizing workflow response times and user experience
- Audit trail generation and compliance logging
Module 5: Advanced Rule-Based Automation with BRF+ - Introduction to Business Rule Framework plus (BRF+) in SAP MDG-M
- Architecture of BRF+ and its integration with governance processes
- Creating decision tables for automated field population
- Defining business objects and expressions for rule logic
- Automating material group assignment based on naming patterns
- Setting procurement type based on material classification
- Automated valuation class determination using custom logic
- Using formula expressions for dynamic data derivation
- Implementing if-then-else logic in material master creation
- Testing BRF+ rules in simulation mode
- Version control and transport management for BRF+ objects
- Nested rule sets for complex material categorization
- Integrating BRF+ with data validation and workflow modules
- Performance optimization of rule execution
- Best practices for modular and reusable rule design
Module 6: Data Harmonization and Cross-System Synchronization - Challenges in maintaining consistent material data across SAP systems
- Overview of SAP Master Data Integration (MDI) capabilities
- Configuring real-time data replication using IDocs
- Setting up batch replication schedules for high-volume updates
- Automated conflict detection and resolution in distributed environments
- Using message monitoring and error handling in MDI
- Mapping material attributes across different SAP landscapes
- Synchronizing plants, storage locations, and valuation areas
- Handling currency, unit of measure, and language conversions
- Automated fallback mechanisms for failed integrations
- Monitoring data consistency with reconciliation reports
- Role of data stewards in cross-system coordination
- Designing golden record propagation strategies
- Integration with SAP Ariba and external procurement platforms
- Ensuring audit compliance in data distribution trails
Module 7: Intelligent Data Cleansing and Enrichment - Identifying common data quality issues in material master records
- Automated detection of duplicates, inconsistencies, and anomalies
- Using fuzzy matching algorithms for near-duplicate identification
- Configuring thresholds for auto-merge or manual review
- Automated standardization of naming conventions and descriptions
- Populating missing attributes from reference data sources
- Integrating external data providers for enrichment (e.g., GDSN)
- Automated translation of material texts using language services
- Enriching materials with sustainability and compliance attributes
- Semantic tagging for improved search and classification
- Machine learning-assisted suggestions for data correction
- Creating data quality dashboards and health scorecards
- Automated reporting of cleansing activities and improvements
- Versioning cleansed records for traceability
- Best practices for continuous data quality monitoring
Module 8: Automation of Material Master Creation and Change - End-to-end automation of new material creation processes
- Template-based material creation using predefined profiles
- Automated assignment of views based on material type
- Pre-populating plant-specific and sales organization data
- Using default values and inheritance rules for efficiency
- Automated derivation of procurement and MRP settings
- Handling configurable materials and variant attributes
- Automated creation of cross-plants and cross-distribution records
- Batch creation and mass change automation techniques
- Validating completeness before release to production systems
- Automated archiving of obsolete or inactive materials
- Managing lifecycle statuses and phase-in/phase-out rules
- Controlling user access to change sensitive fields
- Role-specific automation rules for different user groups
- Measuring reduction in manual effort post-automation
Module 9: Integration with External Sources and AI Tools - Connecting MDG-M to external ERP and PLM systems
- Automated ingestion of material data from suppliers and OEMs
- Using APIs for real-time data exchange with external databases
- Configuring inbound and outbound service orchestration
- Automated validation of externally sourced data
- Integrating with SAP AI Business Services for smart suggestions
- Using natural language processing to extract material specs from documents
- Automated classification of materials from unstructured inputs
- Image recognition for product categorization and tagging
- Integrating with SAP Leonardo Machine Learning Foundation
- Setting up feedback loops for AI model improvement
- Ensuring data privacy and security in external integrations
- Data masking and anonymization techniques for sensitive fields
- Handling rate limits and API failure scenarios
- Monitoring integration health and performance metrics
Module 10: Governance Dashboarding and Real-Time Monitoring - Designing executive and operational dashboards for data governance
- Key metrics: data completeness, accuracy, automation rate, cycle time
- Using SAP Fiori apps for real-time monitoring
- Creating KPIs for stewardship efficiency and data health
- Automated alerts for data quality threshold breaches
- Role-based dashboard views for managers and analysts
- Drill-down capabilities from summary to individual records
- Exporting reports for audit and compliance purposes
- Integrating with SAP Analytics Cloud for advanced visualization
- Setting up scheduled report distribution
- Monitoring automation rule performance and coverage
- Tracking user adoption and engagement with MDG-M tools
- Identifying bottlenecks in the governance process
- Using trend analysis to predict future data issues
- Continuous improvement through feedback-driven dashboards
Module 11: Advanced Scenarios in Multi-System and Global Landscapes - Designing centralized vs decentralized governance models
- Hub-and-spoke architecture for global material governance
- Automating regional-specific validations and rules
- Handling legal entity requirements and tax compliance
- Automated translation and localization workflows
- Managing multiple currencies and fiscal calendars
- Syncing data across SAP ECC, S/4HANA, and non-SAP systems
- Master data governance in mergers and acquisitions
- Automated onboarding of new subsidiaries into governance framework
- Role of governance in post-migration stabilization
- Handling legacy data migration with automated cleansing
- Golden record propagation across global instances
- Compliance with GDPR, SOX, and industry-specific regulations
- Automated audit trail generation for global reporting
- Best practices for scalable, future-ready governance design
Module 12: Hands-on Implementation Projects and Real-World Simulations - Project 1: Automating vendor material master creation for a manufacturing client
- Configuring end-to-end Change Request automation with validation and workflow
- Implementing BRF+ rules for automatic material type assignment
- Setting up data quality monitoring dashboard using Fiori
- Automating cross-plant distribution for a retail chain
- Designing golden record logic for a pharmaceutical distributor
- Simulating a merger scenario with automated data harmonization
- Building error handling and fallback mechanisms for failed integrations
- Implementing AI-driven suggestions for missing material attributes
- Creating automated reporting package for executive review
- Configuring role-based access for global data stewards
- Testing automation logic in a sandbox environment
- Documenting implementation decisions and rule logic
- Presenting automation benefits with ROI calculations
- Preparing deployment-ready configuration transport requests
Module 13: Certification Preparation and Professional Advancement - Review of all core automation concepts and best practices
- Practice assessments with real-world scenario-based questions
- Common pitfalls and how to avoid them in automation design
- Preparing documentation for certification submission
- Final self-assessment quiz to gauge readiness
- Understanding the evaluation criteria for Certificate of Completion
- Submitting your capstone project for review
- Feedback and improvement guidance from expert evaluators
- Finalizing your personal automation playbook
- Creating a portfolio of reusable automation templates
- Strategies for showcasing your certification to employers
- Optimizing your LinkedIn profile with SAP MDG-M keywords
- Preparing for interviews with automation-focused talking points
- Leveraging the certificate for promotions or consulting opportunities
- Accessing post-certification resources and community forums
Module 14: Future-Proofing Your Expertise and Next Steps - Staying updated with SAP roadmaps for MDG-M evolution
- Monitoring SAP notes and support packages for automation enhancements
- Joining global SAP governance communities and knowledge networks
- Contributing to automation best practice repositories
- Expanding into related domains: customer, finance, and supplier governance
- Transitioning from automation to predictive governance
- Exploring SAP Data Intelligence for scalable data operations
- Integrating governance with SAP BTP for cloud-native automation
- Designing event-driven data pipelines using SAP Event Mesh
- Building reusable automation components for enterprise reuse
- Teaching and mentoring others in your organization
- Developing internal training materials based on course insights
- Creating automation governance centers of excellence
- Positioning yourself as a strategic asset in digital transformation
- Continuing education paths and advanced certifications
- Defining automation in the context of master data governance
- Differentiating between workflow automation and data automation
- Benefits of rule-driven governance over manual review
- Understanding pre-processing, real-time, and post-processing automation
- Introduction to Change Requests and their automation potential
- Setting automation eligibility criteria for material records
- Key automation triggers and event-based processing
- Role of data validation rules in reducing manual touchpoints
- Automated classification and categorization of materials
- Understanding the automation decision matrix
- Setting up no-touch, low-touch, and high-touch processing paths
- Using priority flags and urgency rules for intelligent routing
- Automation governance: who approves, who monitors, who audits
- Documenting automation logic for compliance and traceability
- Measuring automation success through touchless processing rates
Module 3: Configuration of Automated Data Validation Rules - Overview of SAP MDG-M Data Validation Framework (DVF)
- Creating custom validation rules for material master attributes
- Data type checks, format validations, and pattern matching
- Setting mandatory fields based on industry-specific requirements
- Using regular expressions for advanced string validation
- Implementing range checks for numeric fields like weight and volume
- Conditional validation based on material type or procurement category
- Integration of validation rules with Change Request workflows
- Defining error severity levels: warning, error, critical block
- Automated error suggestions and auto-correction hints
- Testing and simulating validation rule outcomes
- Versioning and change management for validation logic
- Importing and exporting validation rules for reuse
- Performance impact analysis of complex validation chains
- Best practices for scalable, maintainable validation design
Module 4: Workflow Automation and Process Orchestration - Understanding SAP Business Workflow and its role in MDG-M
- Designing streamlined Change Request approval paths
- Dynamic agent determination using roles and organizational units
- Implementing parallel and serial approval steps
- Setting time-based escalation rules for overdue approvals
- Delegation and substitution strategies for uninterrupted processing
- Automated notification templates and escalation alerts
- Configuring multi-level approvals based on material value or risk
- Integration with external workflow systems via middleware
- Conditional branching in workflows based on data inputs
- Auto-completion of workflow steps for validated records
- Monitoring workflow performance with built-in analytics
- Troubleshooting stuck or failed workflow instances
- Optimizing workflow response times and user experience
- Audit trail generation and compliance logging
Module 5: Advanced Rule-Based Automation with BRF+ - Introduction to Business Rule Framework plus (BRF+) in SAP MDG-M
- Architecture of BRF+ and its integration with governance processes
- Creating decision tables for automated field population
- Defining business objects and expressions for rule logic
- Automating material group assignment based on naming patterns
- Setting procurement type based on material classification
- Automated valuation class determination using custom logic
- Using formula expressions for dynamic data derivation
- Implementing if-then-else logic in material master creation
- Testing BRF+ rules in simulation mode
- Version control and transport management for BRF+ objects
- Nested rule sets for complex material categorization
- Integrating BRF+ with data validation and workflow modules
- Performance optimization of rule execution
- Best practices for modular and reusable rule design
Module 6: Data Harmonization and Cross-System Synchronization - Challenges in maintaining consistent material data across SAP systems
- Overview of SAP Master Data Integration (MDI) capabilities
- Configuring real-time data replication using IDocs
- Setting up batch replication schedules for high-volume updates
- Automated conflict detection and resolution in distributed environments
- Using message monitoring and error handling in MDI
- Mapping material attributes across different SAP landscapes
- Synchronizing plants, storage locations, and valuation areas
- Handling currency, unit of measure, and language conversions
- Automated fallback mechanisms for failed integrations
- Monitoring data consistency with reconciliation reports
- Role of data stewards in cross-system coordination
- Designing golden record propagation strategies
- Integration with SAP Ariba and external procurement platforms
- Ensuring audit compliance in data distribution trails
Module 7: Intelligent Data Cleansing and Enrichment - Identifying common data quality issues in material master records
- Automated detection of duplicates, inconsistencies, and anomalies
- Using fuzzy matching algorithms for near-duplicate identification
- Configuring thresholds for auto-merge or manual review
- Automated standardization of naming conventions and descriptions
- Populating missing attributes from reference data sources
- Integrating external data providers for enrichment (e.g., GDSN)
- Automated translation of material texts using language services
- Enriching materials with sustainability and compliance attributes
- Semantic tagging for improved search and classification
- Machine learning-assisted suggestions for data correction
- Creating data quality dashboards and health scorecards
- Automated reporting of cleansing activities and improvements
- Versioning cleansed records for traceability
- Best practices for continuous data quality monitoring
Module 8: Automation of Material Master Creation and Change - End-to-end automation of new material creation processes
- Template-based material creation using predefined profiles
- Automated assignment of views based on material type
- Pre-populating plant-specific and sales organization data
- Using default values and inheritance rules for efficiency
- Automated derivation of procurement and MRP settings
- Handling configurable materials and variant attributes
- Automated creation of cross-plants and cross-distribution records
- Batch creation and mass change automation techniques
- Validating completeness before release to production systems
- Automated archiving of obsolete or inactive materials
- Managing lifecycle statuses and phase-in/phase-out rules
- Controlling user access to change sensitive fields
- Role-specific automation rules for different user groups
- Measuring reduction in manual effort post-automation
Module 9: Integration with External Sources and AI Tools - Connecting MDG-M to external ERP and PLM systems
- Automated ingestion of material data from suppliers and OEMs
- Using APIs for real-time data exchange with external databases
- Configuring inbound and outbound service orchestration
- Automated validation of externally sourced data
- Integrating with SAP AI Business Services for smart suggestions
- Using natural language processing to extract material specs from documents
- Automated classification of materials from unstructured inputs
- Image recognition for product categorization and tagging
- Integrating with SAP Leonardo Machine Learning Foundation
- Setting up feedback loops for AI model improvement
- Ensuring data privacy and security in external integrations
- Data masking and anonymization techniques for sensitive fields
- Handling rate limits and API failure scenarios
- Monitoring integration health and performance metrics
Module 10: Governance Dashboarding and Real-Time Monitoring - Designing executive and operational dashboards for data governance
- Key metrics: data completeness, accuracy, automation rate, cycle time
- Using SAP Fiori apps for real-time monitoring
- Creating KPIs for stewardship efficiency and data health
- Automated alerts for data quality threshold breaches
- Role-based dashboard views for managers and analysts
- Drill-down capabilities from summary to individual records
- Exporting reports for audit and compliance purposes
- Integrating with SAP Analytics Cloud for advanced visualization
- Setting up scheduled report distribution
- Monitoring automation rule performance and coverage
- Tracking user adoption and engagement with MDG-M tools
- Identifying bottlenecks in the governance process
- Using trend analysis to predict future data issues
- Continuous improvement through feedback-driven dashboards
Module 11: Advanced Scenarios in Multi-System and Global Landscapes - Designing centralized vs decentralized governance models
- Hub-and-spoke architecture for global material governance
- Automating regional-specific validations and rules
- Handling legal entity requirements and tax compliance
- Automated translation and localization workflows
- Managing multiple currencies and fiscal calendars
- Syncing data across SAP ECC, S/4HANA, and non-SAP systems
- Master data governance in mergers and acquisitions
- Automated onboarding of new subsidiaries into governance framework
- Role of governance in post-migration stabilization
- Handling legacy data migration with automated cleansing
- Golden record propagation across global instances
- Compliance with GDPR, SOX, and industry-specific regulations
- Automated audit trail generation for global reporting
- Best practices for scalable, future-ready governance design
Module 12: Hands-on Implementation Projects and Real-World Simulations - Project 1: Automating vendor material master creation for a manufacturing client
- Configuring end-to-end Change Request automation with validation and workflow
- Implementing BRF+ rules for automatic material type assignment
- Setting up data quality monitoring dashboard using Fiori
- Automating cross-plant distribution for a retail chain
- Designing golden record logic for a pharmaceutical distributor
- Simulating a merger scenario with automated data harmonization
- Building error handling and fallback mechanisms for failed integrations
- Implementing AI-driven suggestions for missing material attributes
- Creating automated reporting package for executive review
- Configuring role-based access for global data stewards
- Testing automation logic in a sandbox environment
- Documenting implementation decisions and rule logic
- Presenting automation benefits with ROI calculations
- Preparing deployment-ready configuration transport requests
Module 13: Certification Preparation and Professional Advancement - Review of all core automation concepts and best practices
- Practice assessments with real-world scenario-based questions
- Common pitfalls and how to avoid them in automation design
- Preparing documentation for certification submission
- Final self-assessment quiz to gauge readiness
- Understanding the evaluation criteria for Certificate of Completion
- Submitting your capstone project for review
- Feedback and improvement guidance from expert evaluators
- Finalizing your personal automation playbook
- Creating a portfolio of reusable automation templates
- Strategies for showcasing your certification to employers
- Optimizing your LinkedIn profile with SAP MDG-M keywords
- Preparing for interviews with automation-focused talking points
- Leveraging the certificate for promotions or consulting opportunities
- Accessing post-certification resources and community forums
Module 14: Future-Proofing Your Expertise and Next Steps - Staying updated with SAP roadmaps for MDG-M evolution
- Monitoring SAP notes and support packages for automation enhancements
- Joining global SAP governance communities and knowledge networks
- Contributing to automation best practice repositories
- Expanding into related domains: customer, finance, and supplier governance
- Transitioning from automation to predictive governance
- Exploring SAP Data Intelligence for scalable data operations
- Integrating governance with SAP BTP for cloud-native automation
- Designing event-driven data pipelines using SAP Event Mesh
- Building reusable automation components for enterprise reuse
- Teaching and mentoring others in your organization
- Developing internal training materials based on course insights
- Creating automation governance centers of excellence
- Positioning yourself as a strategic asset in digital transformation
- Continuing education paths and advanced certifications
- Understanding SAP Business Workflow and its role in MDG-M
- Designing streamlined Change Request approval paths
- Dynamic agent determination using roles and organizational units
- Implementing parallel and serial approval steps
- Setting time-based escalation rules for overdue approvals
- Delegation and substitution strategies for uninterrupted processing
- Automated notification templates and escalation alerts
- Configuring multi-level approvals based on material value or risk
- Integration with external workflow systems via middleware
- Conditional branching in workflows based on data inputs
- Auto-completion of workflow steps for validated records
- Monitoring workflow performance with built-in analytics
- Troubleshooting stuck or failed workflow instances
- Optimizing workflow response times and user experience
- Audit trail generation and compliance logging
Module 5: Advanced Rule-Based Automation with BRF+ - Introduction to Business Rule Framework plus (BRF+) in SAP MDG-M
- Architecture of BRF+ and its integration with governance processes
- Creating decision tables for automated field population
- Defining business objects and expressions for rule logic
- Automating material group assignment based on naming patterns
- Setting procurement type based on material classification
- Automated valuation class determination using custom logic
- Using formula expressions for dynamic data derivation
- Implementing if-then-else logic in material master creation
- Testing BRF+ rules in simulation mode
- Version control and transport management for BRF+ objects
- Nested rule sets for complex material categorization
- Integrating BRF+ with data validation and workflow modules
- Performance optimization of rule execution
- Best practices for modular and reusable rule design
Module 6: Data Harmonization and Cross-System Synchronization - Challenges in maintaining consistent material data across SAP systems
- Overview of SAP Master Data Integration (MDI) capabilities
- Configuring real-time data replication using IDocs
- Setting up batch replication schedules for high-volume updates
- Automated conflict detection and resolution in distributed environments
- Using message monitoring and error handling in MDI
- Mapping material attributes across different SAP landscapes
- Synchronizing plants, storage locations, and valuation areas
- Handling currency, unit of measure, and language conversions
- Automated fallback mechanisms for failed integrations
- Monitoring data consistency with reconciliation reports
- Role of data stewards in cross-system coordination
- Designing golden record propagation strategies
- Integration with SAP Ariba and external procurement platforms
- Ensuring audit compliance in data distribution trails
Module 7: Intelligent Data Cleansing and Enrichment - Identifying common data quality issues in material master records
- Automated detection of duplicates, inconsistencies, and anomalies
- Using fuzzy matching algorithms for near-duplicate identification
- Configuring thresholds for auto-merge or manual review
- Automated standardization of naming conventions and descriptions
- Populating missing attributes from reference data sources
- Integrating external data providers for enrichment (e.g., GDSN)
- Automated translation of material texts using language services
- Enriching materials with sustainability and compliance attributes
- Semantic tagging for improved search and classification
- Machine learning-assisted suggestions for data correction
- Creating data quality dashboards and health scorecards
- Automated reporting of cleansing activities and improvements
- Versioning cleansed records for traceability
- Best practices for continuous data quality monitoring
Module 8: Automation of Material Master Creation and Change - End-to-end automation of new material creation processes
- Template-based material creation using predefined profiles
- Automated assignment of views based on material type
- Pre-populating plant-specific and sales organization data
- Using default values and inheritance rules for efficiency
- Automated derivation of procurement and MRP settings
- Handling configurable materials and variant attributes
- Automated creation of cross-plants and cross-distribution records
- Batch creation and mass change automation techniques
- Validating completeness before release to production systems
- Automated archiving of obsolete or inactive materials
- Managing lifecycle statuses and phase-in/phase-out rules
- Controlling user access to change sensitive fields
- Role-specific automation rules for different user groups
- Measuring reduction in manual effort post-automation
Module 9: Integration with External Sources and AI Tools - Connecting MDG-M to external ERP and PLM systems
- Automated ingestion of material data from suppliers and OEMs
- Using APIs for real-time data exchange with external databases
- Configuring inbound and outbound service orchestration
- Automated validation of externally sourced data
- Integrating with SAP AI Business Services for smart suggestions
- Using natural language processing to extract material specs from documents
- Automated classification of materials from unstructured inputs
- Image recognition for product categorization and tagging
- Integrating with SAP Leonardo Machine Learning Foundation
- Setting up feedback loops for AI model improvement
- Ensuring data privacy and security in external integrations
- Data masking and anonymization techniques for sensitive fields
- Handling rate limits and API failure scenarios
- Monitoring integration health and performance metrics
Module 10: Governance Dashboarding and Real-Time Monitoring - Designing executive and operational dashboards for data governance
- Key metrics: data completeness, accuracy, automation rate, cycle time
- Using SAP Fiori apps for real-time monitoring
- Creating KPIs for stewardship efficiency and data health
- Automated alerts for data quality threshold breaches
- Role-based dashboard views for managers and analysts
- Drill-down capabilities from summary to individual records
- Exporting reports for audit and compliance purposes
- Integrating with SAP Analytics Cloud for advanced visualization
- Setting up scheduled report distribution
- Monitoring automation rule performance and coverage
- Tracking user adoption and engagement with MDG-M tools
- Identifying bottlenecks in the governance process
- Using trend analysis to predict future data issues
- Continuous improvement through feedback-driven dashboards
Module 11: Advanced Scenarios in Multi-System and Global Landscapes - Designing centralized vs decentralized governance models
- Hub-and-spoke architecture for global material governance
- Automating regional-specific validations and rules
- Handling legal entity requirements and tax compliance
- Automated translation and localization workflows
- Managing multiple currencies and fiscal calendars
- Syncing data across SAP ECC, S/4HANA, and non-SAP systems
- Master data governance in mergers and acquisitions
- Automated onboarding of new subsidiaries into governance framework
- Role of governance in post-migration stabilization
- Handling legacy data migration with automated cleansing
- Golden record propagation across global instances
- Compliance with GDPR, SOX, and industry-specific regulations
- Automated audit trail generation for global reporting
- Best practices for scalable, future-ready governance design
Module 12: Hands-on Implementation Projects and Real-World Simulations - Project 1: Automating vendor material master creation for a manufacturing client
- Configuring end-to-end Change Request automation with validation and workflow
- Implementing BRF+ rules for automatic material type assignment
- Setting up data quality monitoring dashboard using Fiori
- Automating cross-plant distribution for a retail chain
- Designing golden record logic for a pharmaceutical distributor
- Simulating a merger scenario with automated data harmonization
- Building error handling and fallback mechanisms for failed integrations
- Implementing AI-driven suggestions for missing material attributes
- Creating automated reporting package for executive review
- Configuring role-based access for global data stewards
- Testing automation logic in a sandbox environment
- Documenting implementation decisions and rule logic
- Presenting automation benefits with ROI calculations
- Preparing deployment-ready configuration transport requests
Module 13: Certification Preparation and Professional Advancement - Review of all core automation concepts and best practices
- Practice assessments with real-world scenario-based questions
- Common pitfalls and how to avoid them in automation design
- Preparing documentation for certification submission
- Final self-assessment quiz to gauge readiness
- Understanding the evaluation criteria for Certificate of Completion
- Submitting your capstone project for review
- Feedback and improvement guidance from expert evaluators
- Finalizing your personal automation playbook
- Creating a portfolio of reusable automation templates
- Strategies for showcasing your certification to employers
- Optimizing your LinkedIn profile with SAP MDG-M keywords
- Preparing for interviews with automation-focused talking points
- Leveraging the certificate for promotions or consulting opportunities
- Accessing post-certification resources and community forums
Module 14: Future-Proofing Your Expertise and Next Steps - Staying updated with SAP roadmaps for MDG-M evolution
- Monitoring SAP notes and support packages for automation enhancements
- Joining global SAP governance communities and knowledge networks
- Contributing to automation best practice repositories
- Expanding into related domains: customer, finance, and supplier governance
- Transitioning from automation to predictive governance
- Exploring SAP Data Intelligence for scalable data operations
- Integrating governance with SAP BTP for cloud-native automation
- Designing event-driven data pipelines using SAP Event Mesh
- Building reusable automation components for enterprise reuse
- Teaching and mentoring others in your organization
- Developing internal training materials based on course insights
- Creating automation governance centers of excellence
- Positioning yourself as a strategic asset in digital transformation
- Continuing education paths and advanced certifications
- Challenges in maintaining consistent material data across SAP systems
- Overview of SAP Master Data Integration (MDI) capabilities
- Configuring real-time data replication using IDocs
- Setting up batch replication schedules for high-volume updates
- Automated conflict detection and resolution in distributed environments
- Using message monitoring and error handling in MDI
- Mapping material attributes across different SAP landscapes
- Synchronizing plants, storage locations, and valuation areas
- Handling currency, unit of measure, and language conversions
- Automated fallback mechanisms for failed integrations
- Monitoring data consistency with reconciliation reports
- Role of data stewards in cross-system coordination
- Designing golden record propagation strategies
- Integration with SAP Ariba and external procurement platforms
- Ensuring audit compliance in data distribution trails
Module 7: Intelligent Data Cleansing and Enrichment - Identifying common data quality issues in material master records
- Automated detection of duplicates, inconsistencies, and anomalies
- Using fuzzy matching algorithms for near-duplicate identification
- Configuring thresholds for auto-merge or manual review
- Automated standardization of naming conventions and descriptions
- Populating missing attributes from reference data sources
- Integrating external data providers for enrichment (e.g., GDSN)
- Automated translation of material texts using language services
- Enriching materials with sustainability and compliance attributes
- Semantic tagging for improved search and classification
- Machine learning-assisted suggestions for data correction
- Creating data quality dashboards and health scorecards
- Automated reporting of cleansing activities and improvements
- Versioning cleansed records for traceability
- Best practices for continuous data quality monitoring
Module 8: Automation of Material Master Creation and Change - End-to-end automation of new material creation processes
- Template-based material creation using predefined profiles
- Automated assignment of views based on material type
- Pre-populating plant-specific and sales organization data
- Using default values and inheritance rules for efficiency
- Automated derivation of procurement and MRP settings
- Handling configurable materials and variant attributes
- Automated creation of cross-plants and cross-distribution records
- Batch creation and mass change automation techniques
- Validating completeness before release to production systems
- Automated archiving of obsolete or inactive materials
- Managing lifecycle statuses and phase-in/phase-out rules
- Controlling user access to change sensitive fields
- Role-specific automation rules for different user groups
- Measuring reduction in manual effort post-automation
Module 9: Integration with External Sources and AI Tools - Connecting MDG-M to external ERP and PLM systems
- Automated ingestion of material data from suppliers and OEMs
- Using APIs for real-time data exchange with external databases
- Configuring inbound and outbound service orchestration
- Automated validation of externally sourced data
- Integrating with SAP AI Business Services for smart suggestions
- Using natural language processing to extract material specs from documents
- Automated classification of materials from unstructured inputs
- Image recognition for product categorization and tagging
- Integrating with SAP Leonardo Machine Learning Foundation
- Setting up feedback loops for AI model improvement
- Ensuring data privacy and security in external integrations
- Data masking and anonymization techniques for sensitive fields
- Handling rate limits and API failure scenarios
- Monitoring integration health and performance metrics
Module 10: Governance Dashboarding and Real-Time Monitoring - Designing executive and operational dashboards for data governance
- Key metrics: data completeness, accuracy, automation rate, cycle time
- Using SAP Fiori apps for real-time monitoring
- Creating KPIs for stewardship efficiency and data health
- Automated alerts for data quality threshold breaches
- Role-based dashboard views for managers and analysts
- Drill-down capabilities from summary to individual records
- Exporting reports for audit and compliance purposes
- Integrating with SAP Analytics Cloud for advanced visualization
- Setting up scheduled report distribution
- Monitoring automation rule performance and coverage
- Tracking user adoption and engagement with MDG-M tools
- Identifying bottlenecks in the governance process
- Using trend analysis to predict future data issues
- Continuous improvement through feedback-driven dashboards
Module 11: Advanced Scenarios in Multi-System and Global Landscapes - Designing centralized vs decentralized governance models
- Hub-and-spoke architecture for global material governance
- Automating regional-specific validations and rules
- Handling legal entity requirements and tax compliance
- Automated translation and localization workflows
- Managing multiple currencies and fiscal calendars
- Syncing data across SAP ECC, S/4HANA, and non-SAP systems
- Master data governance in mergers and acquisitions
- Automated onboarding of new subsidiaries into governance framework
- Role of governance in post-migration stabilization
- Handling legacy data migration with automated cleansing
- Golden record propagation across global instances
- Compliance with GDPR, SOX, and industry-specific regulations
- Automated audit trail generation for global reporting
- Best practices for scalable, future-ready governance design
Module 12: Hands-on Implementation Projects and Real-World Simulations - Project 1: Automating vendor material master creation for a manufacturing client
- Configuring end-to-end Change Request automation with validation and workflow
- Implementing BRF+ rules for automatic material type assignment
- Setting up data quality monitoring dashboard using Fiori
- Automating cross-plant distribution for a retail chain
- Designing golden record logic for a pharmaceutical distributor
- Simulating a merger scenario with automated data harmonization
- Building error handling and fallback mechanisms for failed integrations
- Implementing AI-driven suggestions for missing material attributes
- Creating automated reporting package for executive review
- Configuring role-based access for global data stewards
- Testing automation logic in a sandbox environment
- Documenting implementation decisions and rule logic
- Presenting automation benefits with ROI calculations
- Preparing deployment-ready configuration transport requests
Module 13: Certification Preparation and Professional Advancement - Review of all core automation concepts and best practices
- Practice assessments with real-world scenario-based questions
- Common pitfalls and how to avoid them in automation design
- Preparing documentation for certification submission
- Final self-assessment quiz to gauge readiness
- Understanding the evaluation criteria for Certificate of Completion
- Submitting your capstone project for review
- Feedback and improvement guidance from expert evaluators
- Finalizing your personal automation playbook
- Creating a portfolio of reusable automation templates
- Strategies for showcasing your certification to employers
- Optimizing your LinkedIn profile with SAP MDG-M keywords
- Preparing for interviews with automation-focused talking points
- Leveraging the certificate for promotions or consulting opportunities
- Accessing post-certification resources and community forums
Module 14: Future-Proofing Your Expertise and Next Steps - Staying updated with SAP roadmaps for MDG-M evolution
- Monitoring SAP notes and support packages for automation enhancements
- Joining global SAP governance communities and knowledge networks
- Contributing to automation best practice repositories
- Expanding into related domains: customer, finance, and supplier governance
- Transitioning from automation to predictive governance
- Exploring SAP Data Intelligence for scalable data operations
- Integrating governance with SAP BTP for cloud-native automation
- Designing event-driven data pipelines using SAP Event Mesh
- Building reusable automation components for enterprise reuse
- Teaching and mentoring others in your organization
- Developing internal training materials based on course insights
- Creating automation governance centers of excellence
- Positioning yourself as a strategic asset in digital transformation
- Continuing education paths and advanced certifications
- End-to-end automation of new material creation processes
- Template-based material creation using predefined profiles
- Automated assignment of views based on material type
- Pre-populating plant-specific and sales organization data
- Using default values and inheritance rules for efficiency
- Automated derivation of procurement and MRP settings
- Handling configurable materials and variant attributes
- Automated creation of cross-plants and cross-distribution records
- Batch creation and mass change automation techniques
- Validating completeness before release to production systems
- Automated archiving of obsolete or inactive materials
- Managing lifecycle statuses and phase-in/phase-out rules
- Controlling user access to change sensitive fields
- Role-specific automation rules for different user groups
- Measuring reduction in manual effort post-automation
Module 9: Integration with External Sources and AI Tools - Connecting MDG-M to external ERP and PLM systems
- Automated ingestion of material data from suppliers and OEMs
- Using APIs for real-time data exchange with external databases
- Configuring inbound and outbound service orchestration
- Automated validation of externally sourced data
- Integrating with SAP AI Business Services for smart suggestions
- Using natural language processing to extract material specs from documents
- Automated classification of materials from unstructured inputs
- Image recognition for product categorization and tagging
- Integrating with SAP Leonardo Machine Learning Foundation
- Setting up feedback loops for AI model improvement
- Ensuring data privacy and security in external integrations
- Data masking and anonymization techniques for sensitive fields
- Handling rate limits and API failure scenarios
- Monitoring integration health and performance metrics
Module 10: Governance Dashboarding and Real-Time Monitoring - Designing executive and operational dashboards for data governance
- Key metrics: data completeness, accuracy, automation rate, cycle time
- Using SAP Fiori apps for real-time monitoring
- Creating KPIs for stewardship efficiency and data health
- Automated alerts for data quality threshold breaches
- Role-based dashboard views for managers and analysts
- Drill-down capabilities from summary to individual records
- Exporting reports for audit and compliance purposes
- Integrating with SAP Analytics Cloud for advanced visualization
- Setting up scheduled report distribution
- Monitoring automation rule performance and coverage
- Tracking user adoption and engagement with MDG-M tools
- Identifying bottlenecks in the governance process
- Using trend analysis to predict future data issues
- Continuous improvement through feedback-driven dashboards
Module 11: Advanced Scenarios in Multi-System and Global Landscapes - Designing centralized vs decentralized governance models
- Hub-and-spoke architecture for global material governance
- Automating regional-specific validations and rules
- Handling legal entity requirements and tax compliance
- Automated translation and localization workflows
- Managing multiple currencies and fiscal calendars
- Syncing data across SAP ECC, S/4HANA, and non-SAP systems
- Master data governance in mergers and acquisitions
- Automated onboarding of new subsidiaries into governance framework
- Role of governance in post-migration stabilization
- Handling legacy data migration with automated cleansing
- Golden record propagation across global instances
- Compliance with GDPR, SOX, and industry-specific regulations
- Automated audit trail generation for global reporting
- Best practices for scalable, future-ready governance design
Module 12: Hands-on Implementation Projects and Real-World Simulations - Project 1: Automating vendor material master creation for a manufacturing client
- Configuring end-to-end Change Request automation with validation and workflow
- Implementing BRF+ rules for automatic material type assignment
- Setting up data quality monitoring dashboard using Fiori
- Automating cross-plant distribution for a retail chain
- Designing golden record logic for a pharmaceutical distributor
- Simulating a merger scenario with automated data harmonization
- Building error handling and fallback mechanisms for failed integrations
- Implementing AI-driven suggestions for missing material attributes
- Creating automated reporting package for executive review
- Configuring role-based access for global data stewards
- Testing automation logic in a sandbox environment
- Documenting implementation decisions and rule logic
- Presenting automation benefits with ROI calculations
- Preparing deployment-ready configuration transport requests
Module 13: Certification Preparation and Professional Advancement - Review of all core automation concepts and best practices
- Practice assessments with real-world scenario-based questions
- Common pitfalls and how to avoid them in automation design
- Preparing documentation for certification submission
- Final self-assessment quiz to gauge readiness
- Understanding the evaluation criteria for Certificate of Completion
- Submitting your capstone project for review
- Feedback and improvement guidance from expert evaluators
- Finalizing your personal automation playbook
- Creating a portfolio of reusable automation templates
- Strategies for showcasing your certification to employers
- Optimizing your LinkedIn profile with SAP MDG-M keywords
- Preparing for interviews with automation-focused talking points
- Leveraging the certificate for promotions or consulting opportunities
- Accessing post-certification resources and community forums
Module 14: Future-Proofing Your Expertise and Next Steps - Staying updated with SAP roadmaps for MDG-M evolution
- Monitoring SAP notes and support packages for automation enhancements
- Joining global SAP governance communities and knowledge networks
- Contributing to automation best practice repositories
- Expanding into related domains: customer, finance, and supplier governance
- Transitioning from automation to predictive governance
- Exploring SAP Data Intelligence for scalable data operations
- Integrating governance with SAP BTP for cloud-native automation
- Designing event-driven data pipelines using SAP Event Mesh
- Building reusable automation components for enterprise reuse
- Teaching and mentoring others in your organization
- Developing internal training materials based on course insights
- Creating automation governance centers of excellence
- Positioning yourself as a strategic asset in digital transformation
- Continuing education paths and advanced certifications
- Designing executive and operational dashboards for data governance
- Key metrics: data completeness, accuracy, automation rate, cycle time
- Using SAP Fiori apps for real-time monitoring
- Creating KPIs for stewardship efficiency and data health
- Automated alerts for data quality threshold breaches
- Role-based dashboard views for managers and analysts
- Drill-down capabilities from summary to individual records
- Exporting reports for audit and compliance purposes
- Integrating with SAP Analytics Cloud for advanced visualization
- Setting up scheduled report distribution
- Monitoring automation rule performance and coverage
- Tracking user adoption and engagement with MDG-M tools
- Identifying bottlenecks in the governance process
- Using trend analysis to predict future data issues
- Continuous improvement through feedback-driven dashboards
Module 11: Advanced Scenarios in Multi-System and Global Landscapes - Designing centralized vs decentralized governance models
- Hub-and-spoke architecture for global material governance
- Automating regional-specific validations and rules
- Handling legal entity requirements and tax compliance
- Automated translation and localization workflows
- Managing multiple currencies and fiscal calendars
- Syncing data across SAP ECC, S/4HANA, and non-SAP systems
- Master data governance in mergers and acquisitions
- Automated onboarding of new subsidiaries into governance framework
- Role of governance in post-migration stabilization
- Handling legacy data migration with automated cleansing
- Golden record propagation across global instances
- Compliance with GDPR, SOX, and industry-specific regulations
- Automated audit trail generation for global reporting
- Best practices for scalable, future-ready governance design
Module 12: Hands-on Implementation Projects and Real-World Simulations - Project 1: Automating vendor material master creation for a manufacturing client
- Configuring end-to-end Change Request automation with validation and workflow
- Implementing BRF+ rules for automatic material type assignment
- Setting up data quality monitoring dashboard using Fiori
- Automating cross-plant distribution for a retail chain
- Designing golden record logic for a pharmaceutical distributor
- Simulating a merger scenario with automated data harmonization
- Building error handling and fallback mechanisms for failed integrations
- Implementing AI-driven suggestions for missing material attributes
- Creating automated reporting package for executive review
- Configuring role-based access for global data stewards
- Testing automation logic in a sandbox environment
- Documenting implementation decisions and rule logic
- Presenting automation benefits with ROI calculations
- Preparing deployment-ready configuration transport requests
Module 13: Certification Preparation and Professional Advancement - Review of all core automation concepts and best practices
- Practice assessments with real-world scenario-based questions
- Common pitfalls and how to avoid them in automation design
- Preparing documentation for certification submission
- Final self-assessment quiz to gauge readiness
- Understanding the evaluation criteria for Certificate of Completion
- Submitting your capstone project for review
- Feedback and improvement guidance from expert evaluators
- Finalizing your personal automation playbook
- Creating a portfolio of reusable automation templates
- Strategies for showcasing your certification to employers
- Optimizing your LinkedIn profile with SAP MDG-M keywords
- Preparing for interviews with automation-focused talking points
- Leveraging the certificate for promotions or consulting opportunities
- Accessing post-certification resources and community forums
Module 14: Future-Proofing Your Expertise and Next Steps - Staying updated with SAP roadmaps for MDG-M evolution
- Monitoring SAP notes and support packages for automation enhancements
- Joining global SAP governance communities and knowledge networks
- Contributing to automation best practice repositories
- Expanding into related domains: customer, finance, and supplier governance
- Transitioning from automation to predictive governance
- Exploring SAP Data Intelligence for scalable data operations
- Integrating governance with SAP BTP for cloud-native automation
- Designing event-driven data pipelines using SAP Event Mesh
- Building reusable automation components for enterprise reuse
- Teaching and mentoring others in your organization
- Developing internal training materials based on course insights
- Creating automation governance centers of excellence
- Positioning yourself as a strategic asset in digital transformation
- Continuing education paths and advanced certifications
- Project 1: Automating vendor material master creation for a manufacturing client
- Configuring end-to-end Change Request automation with validation and workflow
- Implementing BRF+ rules for automatic material type assignment
- Setting up data quality monitoring dashboard using Fiori
- Automating cross-plant distribution for a retail chain
- Designing golden record logic for a pharmaceutical distributor
- Simulating a merger scenario with automated data harmonization
- Building error handling and fallback mechanisms for failed integrations
- Implementing AI-driven suggestions for missing material attributes
- Creating automated reporting package for executive review
- Configuring role-based access for global data stewards
- Testing automation logic in a sandbox environment
- Documenting implementation decisions and rule logic
- Presenting automation benefits with ROI calculations
- Preparing deployment-ready configuration transport requests
Module 13: Certification Preparation and Professional Advancement - Review of all core automation concepts and best practices
- Practice assessments with real-world scenario-based questions
- Common pitfalls and how to avoid them in automation design
- Preparing documentation for certification submission
- Final self-assessment quiz to gauge readiness
- Understanding the evaluation criteria for Certificate of Completion
- Submitting your capstone project for review
- Feedback and improvement guidance from expert evaluators
- Finalizing your personal automation playbook
- Creating a portfolio of reusable automation templates
- Strategies for showcasing your certification to employers
- Optimizing your LinkedIn profile with SAP MDG-M keywords
- Preparing for interviews with automation-focused talking points
- Leveraging the certificate for promotions or consulting opportunities
- Accessing post-certification resources and community forums
Module 14: Future-Proofing Your Expertise and Next Steps - Staying updated with SAP roadmaps for MDG-M evolution
- Monitoring SAP notes and support packages for automation enhancements
- Joining global SAP governance communities and knowledge networks
- Contributing to automation best practice repositories
- Expanding into related domains: customer, finance, and supplier governance
- Transitioning from automation to predictive governance
- Exploring SAP Data Intelligence for scalable data operations
- Integrating governance with SAP BTP for cloud-native automation
- Designing event-driven data pipelines using SAP Event Mesh
- Building reusable automation components for enterprise reuse
- Teaching and mentoring others in your organization
- Developing internal training materials based on course insights
- Creating automation governance centers of excellence
- Positioning yourself as a strategic asset in digital transformation
- Continuing education paths and advanced certifications
- Staying updated with SAP roadmaps for MDG-M evolution
- Monitoring SAP notes and support packages for automation enhancements
- Joining global SAP governance communities and knowledge networks
- Contributing to automation best practice repositories
- Expanding into related domains: customer, finance, and supplier governance
- Transitioning from automation to predictive governance
- Exploring SAP Data Intelligence for scalable data operations
- Integrating governance with SAP BTP for cloud-native automation
- Designing event-driven data pipelines using SAP Event Mesh
- Building reusable automation components for enterprise reuse
- Teaching and mentoring others in your organization
- Developing internal training materials based on course insights
- Creating automation governance centers of excellence
- Positioning yourself as a strategic asset in digital transformation
- Continuing education paths and advanced certifications